{"id":"W1652252935","doi":"10.65109/csfd9981","title":"Matchings with externalities and attitudes","year":2013,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Strategic Research Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Research Foundation; Sino-Danish Center; Danmarks Grundforskningsfond; National Science Foundation","keywords":"Externality; Economics; Econometrics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003272734,0.0008637333,0.001298576,0.001424156,0.001399039,0.0042337,0.001619998,0.001999585,0.007416481],"category_scores_gemma":[0.01780793,0.0006113607,0.001695224,0.002142918,0.003479004,0.00882409,0.003808648,0.002752937,0.0009807191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827343,"about_ca_system_score_gemma":0.0008585487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121692,"about_ca_topic_score_gemma":0.0008242339,"domain_scores_codex":[0.9957488,0.001600717,0.0002741216,0.0009221421,0.0009264723,0.000527802],"domain_scores_gemma":[0.9907883,0.005294925,0.00135127,0.001410797,0.0005408444,0.0006138493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009663685,0.00005580242,0.001193848,0.00006369992,0.00004047589,0.0001481467,0.0002298813,0.04730656,0.000786165,0.9351122,0.0006957776,0.01427073],"study_design_scores_gemma":[0.00002246026,0.0000215283,0.0002527566,0.00001348541,0.00001645023,0.00006709337,0.00005852846,0.1024291,0.0003459314,0.8955323,0.001228067,0.00001244245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1553643,0.0002537524,0.8279369,0.001133463,0.00004993924,0.0001230458,0.0003747769,0.0003036686,0.01446011],"genre_scores_gemma":[0.8886595,0.0003728601,0.100408,0.0002500897,0.0001517688,0.0002198826,0.0004625857,0.00009075149,0.009384506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007416481,"threshold_uncertainty_score":0.02481061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739675973764292,"score_gpt":0.180186003544013,"score_spread":0.1627892438063701,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}